Random Forest Applied Multivariate Statistics – Spring 2012 Overview Intuition of Random Forest The Random Forest Algorithm De-correlation gives better accuracy Out-of-bag error (OOB-error) Variable importance 1 Diseased Diseased Healthy Healthy Diseased Intuition of Random Forest 2 young old short tall healthy diseased young old diseased female male healthy healthy working retired healt
GPU Optimization Topics • Threading Details – Wavefronts and warps – Thread scheduling for both AMD and NVIDIA GPUs – Predication • Optimziation – Thread mapping – Device occupancy – Vectorization 2 Work Groups to HW Threads • OpenCL kernels are structured into work groups that map to device compute units • Compute units on GPUs consist of SIMT processing elements • Work groups automatically get b
Hao Yu hyu at stats.uwo.ca Thu Oct 4 07:11:23 CEST 2007 Previous message: [Rd] Rmpi_0.5-4 and OpenMPI questions Next message: [Rd] Rmpi_0.5-4 and OpenMPI questions Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Hi Dirk, Thank for pointing out additional flags needed in order to compile Rmpi correctly. Those flags can be added in configure.ac once openmpi dir is detected. BTW -DMPI2
May 10-15, 2015, International Conference at the Congressi Stefano Franscini (CSF) of ETH Zurich, Monte Verità, Ascona The conference will offer a platform for the exchange of ideas for experts developing, testing, and applying theories of social norms and institutions across a diverse range of different social sciences. Invited participants are from a variety of countries and have many different
Description formatC() formats numbers individually and flexibly using C style format specifications. prettyNum() is used for “prettifying” (possibly formatted) numbers, also in format.default. .format.zeros(x), an auxiliary function of prettyNum(), re-formats the zeros in a vector x of formatted numbers. Usage formatC(x, digits = NULL, width = NULL, format = NULL, flag = "", mode = NULL, big.mark
on-line boosting trackers » for model-free, single object tracking Visual object tracking is a fundamental topic in computer vision and was addressed by many researchers in the last decades. Many tracking algorithms with different assumptions (e.g., static background, accurate 3D model) have been proposed. single object tracking model-free tracking (i.e., only the initial position of the object
The purpose of the Resources section of the CSS website is outreach - i.e., it features the analyses of CSS experts, external partners and like-minded institutions in order to promote dialogue on international relations and security-related issues. CSS Resources is the successor to the International Relations and Security Network (ISN). The Ukrainian military situational awareness platform Delta (
You may find all the datasets following this Link. All datasets contain dense point clouds derived using the proposed autonomous inspection planner for the flight path, a camera system and the Pix4D software for post-processing of the pose-annotated images. The point clouds are saved in *.ply format and you may load them with any relevant software (e.g. MeshLab). Furthermore, for the case of the M
Peter Dalgaard p.dalgaard at biostat.ku.dk Fri Oct 21 17:59:11 CEST 2005 Previous message: [R] change maxiter for nls Next message: [R] [BioC] please recommend Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Xiaodong Jin <close2ceo at yahoo.com> writes: > I typed the following commands but it still use maxiter=50 after the 2nd command: > > nls.control(maxiter = 1000) > nls(......) >
Description Simple manipulation of (a small set of) integer numbers as roman numerals. Usage as.roman(x) .romans r1 + r2 r1 <= r2 max(r1) sum(r2) Arguments Details as.roman creates objects of class "roman" which are internally represented as integers, and have suitable methods for printing, formatting, subsetting, coercion, etc, see methods(class = "roman"). Arithmetic ("Arith"), Comparison ("Comp
Statistical Physics ETH Z¨urich – Herbstsemester 2010 Manfred Sigrist, HIT K23.8 Tel.: 3-2584, Email: sigrist@itp.phys.ethz.ch Webpage: http://www.itp.phys.ethz.ch/research/condmat/strong/ Literature: • Statistical Mechanics, K. Huang, John Wiley & Sons (1987). • Equilibrium Statistical Physics, M. Plischke and B. Bergersen, Prentice-Hall International (1989). • Theorie der W¨arme, R. Becker, Spr
Load or Save or Display the Commands History Description Load or save or display the commands history. Usage loadhistory(file = ".Rhistory") savehistory(file = ".Rhistory") history(max.show = 25, reverse = FALSE, pattern, ...) timestamp(stamp = date(), prefix = "##------ ", suffix = " ------##", quiet = FALSE) Arguments The name of the file in which to save the history, or from which to load it. T
In the search for ways to store data permanently, ETH researchers have been inspired by fossils. (Illustration: Philipp Stössel/ETH Zurich) Scrolls thousands of years old provide us with a glimpse into long-forgotten cultures and the knowledge of our ancestors. In this digital era, in contrast, a large part of our knowledge is located on servers and hard drives. It will be a challenge for this dat
Description Generate R bootstrap replicates of a statistic applied to a time series. The replicate time series can be generated using fixed or random block lengths or can be model based replicates. Usage tsboot(tseries, statistic, R, l = NULL, sim = "model", endcorr = TRUE, n.sim = NROW(tseries), orig.t = TRUE, ran.gen, ran.args = NULL, norm = TRUE, ..., parallel = c("no", "multicore", "snow"), nc
Register Old-Style (S3) Classes and Inheritance Description Register an old-style (a.k.a. ‘S3’) class as a formally defined class. Simple usage will be of the form: setOldClass(Classes) where Classes is the character vector that would be the class attribute of the S3 object. Calls to setOldClass() in the code for a package allow the class to be used as a slot in formal (S4) classes and in signatur
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